Discovering Significant Patterns
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s10994-007-5006-x.pdf
Reference43 articles.
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3. Agresti, A. (1992). A survey of exact inference for contingency tables. Statistical Science, 7(1), 131–153.
4. Aumann, Y., & Lindell, Y. (1999). A statistical theory for quantitative association rules. In Proceedings of the fifth ACM SIGKDD international conference on knowledge discovery and data mining (KDD-99) (pp. 261–270).
5. Bastide, Y., Pasquier, N., Taouil, R., Stumme, G., & Lakhal, L. (2000). Mining minimal non-redundant association rules using frequent closed itemsets. In First international conference on computational logic—CL 2000 (pp. 972–986). Berlin: Springer.
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